CODEWITHSUNDEEP
python-3.xscikit-learndata-science
Anuj_sahay_112
Anuj_sahay_112

Reputation: 1

Label encoder is not converting str to int

col = ['date','age','race', 'sex','procedure1', 'procedure2', 'procedure3', 'a_diag', 'p_diag','s_diag1','s_diag2', 's_diag3', 's_diag4', 's_diag5']

from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
for i in col:
    df[i] = le.fit_transform(df[i].astype('object'))

For the above code, I get the following error:

'<' not supported between instances of 'str' and 'int'

Upvotes: 0

Views: 468

Answers (1)

PV8
PV8

Reputation: 6280

I would suggest you to run:

df.dtypes

first, to check which columns are already a numeric column, the output should look like this:

date object
age int32

I would exclude all numeric columns then from your loop. Then change the loop code to:

 df[i] = le.fit_transform(df[i].astype('str'))

If there is still an error, check this out: TypeError: '<=' not supported between instances of 'str' and 'int'

Upvotes: 1

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